Parents (Total: 31)

The searched file hash is included in 31 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	46936
MD5	83DA6C3F7FB217C23D6FC8B1352C8E47
PackageDescription	Celery integration for Django Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-django-celery
PackageSection	python
PackageVersion	3.1.17-3
SHA-1	059DB38AF601D12595147AFEA585C9433E3F3056
SHA-256	4701239AC6AEA8201438EFC423F536999D3C11E12C39415EDEB317C5097E1DE9

Key	Value
FileSize	49982
MD5	EC5901D8CE0D315C123A0CE013DD0D91
PackageDescription	Celery integration for Django (Documentation) Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. . This package contains the documentation.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-django-celery-doc
PackageSection	doc
PackageVersion	3.1.16-2
SHA-1	1A962D103ED00E19D44E81C76BF330BD1BDD8A5F
SHA-256	510E94A12FF4ED4DA57D56A70C0745D9EF1C1F20B4C98C1B8904B52462099ED0

Key	Value
MD5	23DF4197B35F85CB4A1C44E11EDC6D31
PackageArch	noarch
PackageDescription	django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	2.fc21
PackageVersion	3.1.9
SHA-1	25B14A68D2C95DA2DA84151461C23137233FF451
SHA-256	5874351830AAD386DFE07F4E0E3E779BD1B9235FEAF93D1766F5A18A9E1010D3

Key	Value
FileSize	45448
MD5	9B2FD6F42B041DB1E1F6A58EBCD27177
PackageDescription	Celery integration for Django Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-django-celery
PackageSection	python
PackageVersion	3.1.16-2
SHA-1	293946CAEB82E3AFFCE92DBE5CDFC6C6855E3FC1
SHA-256	02E8724FA21CF63FC5CFC7E9D426D99392BEE548A874D2E0F1941FF0A9F03DC1

Key	Value
MD5	78DF264415299EAED56EC3B2F8673D93
PackageArch	noarch
PackageDescription	django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	2.fc21
PackageVersion	3.1.9
SHA-1	391A6CC4A588C79C450F852B2E09057A87E1087D
SHA-256	91DCBE9336A95088485BFA7DDD958354920FD3C04B291D5216BC67F7E3003BA5

Key	Value
FileSize	45108
MD5	DF73A21691CF797F27F2EDC08F813DC9
PackageDescription	Celery integration for Django Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-django-celery
PackageSection	python
PackageVersion	3.1.10-1
SHA-1	3DCE98232FC09DE04CEA1C75F7CA372254000AE1
SHA-256	2350FCB8D7B0998EE60F9CA199BC626C997F2302AA0305D287A05C9482CD00C6

Key	Value
MD5	11EC66F13E3CEB650FBD20E6215784F0
PackageArch	noarch
PackageDescription	django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	1.fc18
PackageVersion	3.0.11
SHA-1	42115C011EA5F0A921CEF024E48E19F0BAD4D7A1
SHA-256	FC7B9C9E3A79B0FB96F4885FA669EAFDDDD33A147065C9311E8DC0B405C0CE3D

Key	Value
MD5	66E2B9900305C44EF1D8FCD04B227E93
PackageArch	noarch
PackageDescription	django-celery provides Celery integration for Django; Using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and more. Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	2.fc21
PackageVersion	3.1.9
SHA-1	4A35F1BF99747BC1F50D1CFD8F4907D17C306096
SHA-256	EBC37B9DB0FD264C03C114EBFA21B9DD9EDA282D4775A99F39A3084A37F5253E

Key	Value
FileSize	69988
MD5	C74AB5F633EDB52F162717BE5F1B63E9
PackageDescription	Celery integration for Django (Documentation) Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. . This package contains the documentation.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-django-celery-doc
PackageSection	doc
PackageVersion	3.1.16-1
SHA-1	4CA118F2D173B65A8F25AC8622AA798FBDCBF86E
SHA-256	7394BF8F54655620C611C6EB83F91D3688474B6528729DAC31B39704BD282607

Key	Value
FileName	15008
FileSize	47238
MD5	0DD94A5C0DA81BD6B61D7FD9E6B43778
PackageDescription	Celery integration for Django (Documentation) Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. . This package contains the documentation.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-django-celery-doc
PackageSection	doc
PackageVersion	3.1.17-3.1ubuntu1
RDS:package_id	182052
SHA-1	4D8822A67F6B838712B924531288260527377D9F
SHA-256	AC86C815353A3E1A9CEC6178D9847F141704F8532A708B84263A9EEB473B4C05
insert-timestamp	1679408377.642127
source	RDS.db